Triple
T9112980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthew Beard |
E218648
|
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: [Matthew Beard, familyName, Beard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beard Context triple: [Matthew 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.
The Beard Is Out There
The Beard Is Out There is a live album by American progressive rock band Spock’s Beard, capturing their intricate compositions and energetic performances in concert.
-
D.
Mustache
Mustache is a logic-less templating language used to generate text by interpolating data into templates across many programming languages.
-
E.
Grey Beard
Grey Beard is a song featured on the album "Share Your Love."
- 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_69ca83dc94ac8190b9ef42684d36ff39 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca84b0a048190964f560f78e27cce |
completed | April 1, 2026, 5:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d03052716c8190835b0d3357a29ce5 |
completed | April 3, 2026, 9:25 p.m. |
Created at: March 30, 2026, 7:16 p.m.