Triple
T18217988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allison Moorer |
E436214
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Blood
"Blood" is a 2019 memoir by American singer-songwriter Allison Moorer that explores her family history, including the murder-suicide of her parents and its lasting emotional impact.
|
E1312143
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Blood | Statement: [Allison Moorer, notableWork, Blood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blood Context triple: [Allison Moorer, notableWork, Blood]
-
A.
Blood
"Blood" is a critically acclaimed 1984 dream pop and ethereal wave album by the musical collective This Mortal Coil, known for its atmospheric soundscapes and haunting reinterpretations of classic songs.
-
B.
Blood
"Blood" is a song by the indie rock supergroup Tired Pony, known for its melancholic tone and reflective lyrics.
-
C.
Blood
Blood is an American rock band best known for its melodic, guitar-driven sound and hits that gained prominence in the 1990s.
-
D.
Life Blood
Life Blood is a techno-thriller novel by Thomas Hoover that blends medical science, suspense, and conspiracy themes.
-
E.
Bloods
Bloods is a popular nickname for the Sydney Swans, an Australian Football League club known for its red-and-white colors and strong team culture.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Blood Triple: [Allison Moorer, notableWork, Blood]
Generated description
"Blood" is a 2019 memoir by American singer-songwriter Allison Moorer that explores her family history, including the murder-suicide of her parents and its lasting emotional impact.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Blood Target entity description: "Blood" is a 2019 memoir by American singer-songwriter Allison Moorer that explores her family history, including the murder-suicide of her parents and its lasting emotional impact.
-
A.
Blood
Blood is an American rock band best known for its melodic, guitar-driven sound and hits that gained prominence in the 1990s.
-
B.
Blood
"Blood" is a critically acclaimed 1984 dream pop and ethereal wave album by the musical collective This Mortal Coil, known for its atmospheric soundscapes and haunting reinterpretations of classic songs.
-
C.
Blood
"Blood" is a song by the indie rock supergroup Tired Pony, known for its melancholic tone and reflective lyrics.
-
D.
Life Blood
Life Blood is a techno-thriller novel by Thomas Hoover that blends medical science, suspense, and conspiracy themes.
-
E.
Bloods
Bloods is a popular nickname for the Sydney Swans, an Australian Football League club known for its red-and-white colors and strong team culture.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e4782db4819093baee57f34be490 |
completed | April 19, 2026, 2:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a039f198fd48190894a7b7262148935 |
completed | May 12, 2026, 9:43 p.m. |
| NEDg | Description generation | batch_6a039febd13881908423ee008d3ba1c3 |
completed | May 12, 2026, 9:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03a088b4a0819093720af0308060ee |
completed | May 12, 2026, 9:50 p.m. |
Created at: April 10, 2026, 10:32 a.m.