Triple
T9215651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the Twelve |
E221234
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object |
Thomas
Thomas was one of Jesus Christ’s twelve apostles, traditionally known for doubting the resurrection until he saw and touched Jesus’ wounds.
|
E264064
|
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: Thomas | Statement: [the Twelve, member, Thomas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Context triple: [the Twelve, member, Thomas]
-
A.
Thomas
Thomas is the given name of Tommy Lasorda, the Hall of Fame former manager of the Los Angeles Dodgers.
-
B.
Thomas
Thomas is the given name of Thomas Osborne, 1st Duke of Leeds, a prominent 17th-century English statesman and politician.
-
C.
Thomas
Thomas is the given name of Old Tom Morris, the 19th-century Scottish golfer regarded as a pioneer and four-time Open Championship winner.
-
D.
Thomas
Thomas is the given name of Thomas Pelham-Holles, 1st Duke of Newcastle, a prominent 18th-century British Whig statesman and prime minister.
-
E.
Thomas
Thomas is the given name of Sir Thomas Frankland, a titled member of the British Frankland family.
- 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: Thomas Triple: [the Twelve, member, Thomas]
Generated description
Thomas was one of Jesus Christ’s twelve apostles, traditionally known for doubting the resurrection until he saw and touched Jesus’ wounds.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thomas Target entity description: Thomas was one of Jesus Christ’s twelve apostles, traditionally known for doubting the resurrection until he saw and touched Jesus’ wounds.
-
A.
Thomas
chosen
Thomas, also known as Doubting Thomas, was one of Jesus Christ’s Twelve Apostles, remembered for initially doubting the Resurrection until he saw and touched Jesus’ wounds.
-
B.
Thomas
Thomas, also known as Doubting Thomas, is one of the Twelve Apostles of Jesus in the New Testament, remembered for initially doubting Jesus’ resurrection until he saw and touched Christ’s wounds.
-
C.
Thomas
Thomas is the given name of Thomas Cranmer, the 16th-century Archbishop of Canterbury and a leading figure in the English Reformation.
-
D.
Thomas
Thomas is the birth name of American actor and producer Tom Cruise, one of Hollywood’s most famous and highest-grossing movie stars.
-
E.
Thomas
Thomas is the given first name of American astronaut Ken Mattingly, known for his role in the Apollo and Space Shuttle programs.
- F. None of above.
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_69ca83eae42c8190a0ea9e040710a277 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda0830a8819096a186ed2e976cba |
completed | April 1, 2026, 8:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d09ba1d3488190b2c999204f0d545b |
completed | April 4, 2026, 5:03 a.m. |
| NEDg | Description generation | batch_69d09cc5cdd481908903ae0e49c1085d |
completed | April 4, 2026, 5:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d09d7364b48190ad3dd55711bd2534 |
completed | April 4, 2026, 5:11 a.m. |
Created at: March 30, 2026, 7:27 p.m.