Triple
T5810623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William B. Travis |
E128858
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object |
Barret
Barret is the middle name of William B. Travis, the 19th-century American lawyer and commander who became a key figure in the Battle of the Alamo during the Texas Revolution.
|
E548052
|
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: Barret | Statement: [William B. Travis, middleName, Barret]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barret Context triple: [William B. Travis, middleName, Barret]
-
A.
Barrett
Barrett is a common English and Irish surname borne by numerous notable individuals across politics, law, sports, and the arts.
-
B.
Barret Zoph
Barret Zoph is a machine learning researcher known for his work on neural architecture search and contributions to deep learning at Google Brain.
-
C.
Rennie
Rennie is a Scottish surname most notably associated with the family of civil engineers, including John Rennie the Younger.
-
D.
Briscoe
Briscoe is a surname most notably associated with Dolph Briscoe, a prominent American rancher and politician who served as governor of Texas.
-
E.
Barrett Deems
Barrett Deems was an American jazz drummer best known for his high-energy playing and for performing with Louis Armstrong’s All-Stars in the 1950s.
- 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: Barret Triple: [William B. Travis, middleName, Barret]
Generated description
Barret is the middle name of William B. Travis, the 19th-century American lawyer and commander who became a key figure in the Battle of the Alamo during the Texas Revolution.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Barret Target entity description: Barret is the middle name of William B. Travis, the 19th-century American lawyer and commander who became a key figure in the Battle of the Alamo during the Texas Revolution.
-
A.
Barrett
Barrett is a common English and Irish surname borne by numerous notable individuals across politics, law, sports, and the arts.
-
B.
Barret Zoph
Barret Zoph is a machine learning researcher known for his work on neural architecture search and contributions to deep learning at Google Brain.
-
C.
Rennie
Rennie is a Scottish surname most notably associated with the family of civil engineers, including John Rennie the Younger.
-
D.
Briscoe
Briscoe is a surname most notably associated with Dolph Briscoe, a prominent American rancher and politician who served as governor of Texas.
-
E.
Barrett Deems
Barrett Deems was an American jazz drummer best known for his high-energy playing and for performing with Louis Armstrong’s All-Stars in the 1950s.
- 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_69c0084788848190bcf71f6bc5d71597 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b538cd08190a7dac378898059b9 |
completed | March 22, 2026, 5:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c098416504819089356b68fabdf737 |
completed | March 23, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69c098f465cc819088241200306bd273 |
completed | March 23, 2026, 1:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c099770ca88190a91815ec055f6df8 |
completed | March 23, 2026, 1:37 a.m. |
Created at: March 22, 2026, 3:52 p.m.