Triple
T7343632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trammell Crow |
E169319
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Margaret Doggett Crow |
E278689
|
NE FINISHED |
How this triple was built (2 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: Margaret Doggett Crow | Statement: [Trammell Crow, spouse, Margaret Doggett Crow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margaret Doggett Crow Context triple: [Trammell Crow, spouse, Margaret Doggett Crow]
-
A.
Margaret Crow
chosen
Margaret Crow was an American philanthropist and art patron whose support and legacy are honored through the naming of the Crow Museum of Asian Art.
-
B.
Margaret Gibson
Margaret Gibson was the wife of American actor Noah Beery, associated with the early Hollywood film era.
-
C.
Margaret Pumphrey
Margaret Pumphrey was the wife of British-born American actor Victor McLaglen, an Academy Award–winning star of early 20th-century cinema.
-
D.
Margaret Davenport
Margaret Davenport is the mother of American actor Emile Hirsch.
-
E.
Margaret Biggins
Margaret Biggins was the wife of Sir Richard Arkwright, the pioneering English inventor and industrialist of the early textile factory system.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c68a57710481909f0c1f3c6ebdb6f2 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0ed78908190a169f094cb3f62f0 |
completed | March 27, 2026, 9:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd336af7c48190956add895fff9c21 |
completed | April 1, 2026, 3:02 p.m. |
Created at: March 27, 2026, 3:04 p.m.