Triple
T3396546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drew Pearson |
E71541
|
entity |
| Predicate | teamHonor |
P49409
|
FINISHED |
| Object | Dallas Cowboys Ring of Honor inductee |
—
|
LITERAL 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: Dallas Cowboys Ring of Honor inductee | Statement: [Drew Pearson, teamHonor, Dallas Cowboys Ring of Honor inductee]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamHonor Context triple: [Drew Pearson, teamHonor, Dallas Cowboys Ring of Honor inductee]
-
A.
teamHonour
Indicates that a team has received or been awarded a particular honour, title, or distinction.
-
B.
teamHonors
Indicates that a team has received a particular honor, award, or title.
-
C.
clubHonour
Indicates that a club has received or been awarded a particular honour, title, or distinction.
-
D.
teamAchievement
Indicates that a group of individuals collectively accomplished a shared goal or met a performance milestone.
-
E.
hostedTeamAchievement
Indicates that an entity organized or hosted an event or context in which a team achieved a particular accomplishment.
- F. None of above. chosen
Provenance (4 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_69ad85a9c4a88190a854019341cb3b60 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb856158c81908dd7d3f1f8d6af74 |
completed | March 8, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69adadf705608190975423779430cc58 |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb2e426b88190b82d9830149b142e |
completed | March 8, 2026, 5:33 p.m. |
Created at: March 8, 2026, 3:14 p.m.