Triple
T3713064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brian Urlacher |
E81460
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Urlacher
Urlacher is the surname of Brian Urlacher, a former NFL linebacker best known for his Hall of Fame career with the Chicago Bears.
|
E381360
|
NE FINISHED |
How this triple was built (4 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: Urlacher | Statement: [Brian Urlacher, familyName, Urlacher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Urlacher Context triple: [Brian Urlacher, familyName, Urlacher]
-
A.
Zakheim
Zakheim is a surname most notably associated with Bernard Zakheim, a Polish-born American muralist known for his New Deal–era public artworks in California.
-
B.
Heurich
Heurich is a German surname most notably associated with Christian Heurich, a prominent brewer and businessman in Washington, D.C.
-
C.
Eldridge
Eldridge is an English-language surname of Old English origin, borne by various notable individuals across fields such as politics, the arts, and sports.
-
D.
Boerne
Boerne is a small, historic town in south-central Texas known for its German heritage, charming downtown, and scenic Hill Country surroundings.
-
E.
Lamon
Lamon is an archaeological site notable for inscriptions in the ancient Venetic language.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Urlacher Triple: [Brian Urlacher, familyName, Urlacher]
Generated description
Urlacher is the surname of Brian Urlacher, a former NFL linebacker best known for his Hall of Fame career with the Chicago Bears.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Urlacher Target entity description: Urlacher is the surname of Brian Urlacher, a former NFL linebacker best known for his Hall of Fame career with the Chicago Bears.
-
A.
Zakheim
Zakheim is a surname most notably associated with Bernard Zakheim, a Polish-born American muralist known for his New Deal–era public artworks in California.
-
B.
Heurich
Heurich is a German surname most notably associated with Christian Heurich, a prominent brewer and businessman in Washington, D.C.
-
C.
Eldridge
Eldridge is an English-language surname of Old English origin, borne by various notable individuals across fields such as politics, the arts, and sports.
-
D.
Boerne
Boerne is a small, historic town in south-central Texas known for its German heritage, charming downtown, and scenic Hill Country surroundings.
-
E.
Lamon
Lamon is an archaeological site notable for inscriptions in the ancient Venetic language.
- F. None of above. chosen
Provenance (5 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_69ad8b1a81588190b3f27a5483bb610e |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc9cbc5648190936f93868086167e |
completed | March 8, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4ce0c3320819092ca5dd0694e167f |
completed | March 14, 2026, 2:55 a.m. |
| NEDg | Description generation | batch_69b4ceef46cc819096e0d824153d1544 |
completed | March 14, 2026, 2:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4cf6c4e5c8190bee35fc33d707823 |
completed | March 14, 2026, 3:01 a.m. |
Created at: March 8, 2026, 3:33 p.m.