Triple
T26892132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Carr |
E677204
|
entity |
| Predicate | twinDaughters |
P124960
|
FINISHED |
| Object |
Erin Lee Carr
Erin Lee Carr is an American documentary filmmaker and writer known for her true-crime films and for being the daughter of the late journalist David Carr.
|
E1746637
|
NE FINISHED |
How this triple was built (3 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: Erin Lee Carr | Statement: [David Carr, twinDaughters, Erin Lee Carr]
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: Erin Lee Carr Triple: [David Carr, twinDaughters, Erin Lee Carr]
Generated description
Erin Lee Carr is an American documentary filmmaker and writer known for her true-crime films and for being the daughter of the late journalist David Carr.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: twinDaughters Context triple: [David Carr, twinDaughters, Erin Lee Carr]
-
A.
hasTwin
Indicates that one entity is a twin of another, sharing the same birth event or time with a sibling.
-
B.
daughters
Indicates that one entity is the female child of another entity.
-
C.
parentOfTwins
chosen
Indicates that one entity is the parent of two siblings who are twins.
-
D.
twinType
Indicates that one entity is classified as a specific type or category of twin in relation to another entity.
-
E.
hasTwinStatus
Indicates that an entity has a twin relationship or classification, such as being one of a pair of twins or having an associated twin counterpart.
- F. None of above.
Provenance (6 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_69eee9bc0c90819085608c8bdc513a57 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f61f68deb08190a950a67be4827c75 |
completed | May 2, 2026, 3:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a121ea2fa008190913b10dedb3b67a6 |
completed | May 23, 2026, 9:39 p.m. |
| NEDg | Description generation | batch_6a121f90eec08190bd18be556349e464 |
completed | May 23, 2026, 9:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a12205e89f4819098a8901d520e9c7d |
completed | May 23, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69f611af72ac819094598dd2530d7411 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 5:45 a.m.