Triple
T14653956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alison Hendrix |
E344061
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Gemma Hendrix
Gemma Hendrix is a young daughter in the Hendrix family from the television series "Orphan Black."
|
E1114886
|
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: Gemma Hendrix | Statement: [Alison Hendrix, hasChild, Gemma Hendrix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gemma Hendrix Context triple: [Alison Hendrix, hasChild, Gemma Hendrix]
-
A.
Gemma Jones
Gemma Jones is an English actress known for her work in film, television, and theatre, including prominent roles in period dramas and popular franchises like the Bridget Jones series and the Harry Potter films.
-
B.
Gemma James
Gemma James is known as the spouse of Welsh actor Gareth David-Lloyd, recognized for his role in the TV series "Torchwood."
-
C.
Gemma
Gemma is a feminine given name of Italian origin, historically associated with figures such as Gemma Donati, the wife of poet Dante Alighieri.
-
D.
Gemma
Gemma is a novel by Meg Tilly, known for its dark, psychologically intense exploration of trauma and survival.
-
E.
Gemma Flynn
Gemma Flynn is a New Zealand former international field hockey player who represented the Black Sticks at multiple Olympic Games.
- 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: Gemma Hendrix Triple: [Alison Hendrix, hasChild, Gemma Hendrix]
Generated description
Gemma Hendrix is a young daughter in the Hendrix family from the television series "Orphan Black."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gemma Hendrix Target entity description: Gemma Hendrix is a young daughter in the Hendrix family from the television series "Orphan Black."
-
A.
Gemma Jones
Gemma Jones is an English actress known for her work in film, television, and theatre, including prominent roles in period dramas and popular franchises like the Bridget Jones series and the Harry Potter films.
-
B.
Gemma James
Gemma James is known as the spouse of Welsh actor Gareth David-Lloyd, recognized for his role in the TV series "Torchwood."
-
C.
Gemma
Gemma is a feminine given name of Italian origin, historically associated with figures such as Gemma Donati, the wife of poet Dante Alighieri.
-
D.
Gemma
Gemma is a novel by Meg Tilly, known for its dark, psychologically intense exploration of trauma and survival.
-
E.
Gemma Flynn
Gemma Flynn is a New Zealand former international field hockey player who represented the Black Sticks at multiple Olympic Games.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb518f7dc8190877997ea4cd3eed2 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf07acd748190b2821dee21ecd740 |
completed | May 8, 2026, 2:17 p.m. |
| NEDg | Description generation | batch_69fdf2577be48190906e6efce6669c06 |
completed | May 8, 2026, 2:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdf2b9faf8819092bb221a3f5f71f6 |
completed | May 8, 2026, 2:27 p.m. |
Created at: April 10, 2026, 1:27 a.m.