Triple
T4087449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Beard |
E87621
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Beard |
E271926
|
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: Beard | Statement: [James Beard, familyName, Beard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beard Context triple: [James Beard, familyName, Beard]
-
A.
Beard
chosen
Beard is a common English surname that has been borne by various notable individuals across fields such as arts, politics, and sports.
-
B.
The Beard
The Beard is the widely recognized nickname of NBA star James Harden, known for his prolific scoring and distinctive facial hair.
-
C.
Grey Beard
Grey Beard is a song featured on the album "Share Your Love."
-
D.
Red Beard
Red Beard is the English translation of "Barbarossa," the famous epithet of Holy Roman Emperor Frederick I, referring to his distinctive red facial hair.
-
E.
Barber
Barber is a common English occupational surname originally given to people who worked as barbers, cutting hair and performing grooming services.
- 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_69aed94425148190be337845d56fac22 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefca899008190b5ada98bdb79639f |
completed | March 9, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b6335c4819093538f261a5093b3 |
completed | March 14, 2026, 2:06 p.m. |
Created at: March 9, 2026, 3:39 p.m.