Triple
T17945425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hawkman |
E448690
|
entity |
| Predicate | alterEgo |
P39
|
FINISHED |
| Object |
Fel Andar
Fel Andar is a DC Comics character who served as a Thanagarian agent infiltrating Earth’s heroes under the guise of Hawkman.
|
E1298059
|
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: Fel Andar | Statement: [Hawkman, alterEgo, Fel Andar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fel Andar Context triple: [Hawkman, alterEgo, Fel Andar]
-
A.
Fárrago
Fárrago is a celebrated poetry collection by Colombian writer León de Greiff, known for its rich language, erudite allusions, and playful, experimental style.
-
B.
Le Fifre
Le Fifre is a famous 1866 painting by Édouard Manet depicting a young military fifer in a strikingly flat, simplified style that anticipates modern art.
-
C.
Adarinnya
Adarinnya is an alternative name for the Harari language, a Semitic language spoken primarily in the city of Harar in eastern Ethiopia.
-
D.
Fainall
Fainall is a central, scheming antagonist in William Congreve’s Restoration comedy "The Way of the World," known for his manipulative and duplicitous nature.
-
E.
Manfalut
Manfalut is a city in Upper Egypt known as an agricultural and commercial center within the Asyut region along the Nile.
- 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: Fel Andar Triple: [Hawkman, alterEgo, Fel Andar]
Generated description
Fel Andar is a DC Comics character who served as a Thanagarian agent infiltrating Earth’s heroes under the guise of Hawkman.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fel Andar Target entity description: Fel Andar is a DC Comics character who served as a Thanagarian agent infiltrating Earth’s heroes under the guise of Hawkman.
-
A.
Fárrago
Fárrago is a celebrated poetry collection by Colombian writer León de Greiff, known for its rich language, erudite allusions, and playful, experimental style.
-
B.
Le Fifre
Le Fifre is a famous 1866 painting by Édouard Manet depicting a young military fifer in a strikingly flat, simplified style that anticipates modern art.
-
C.
Adarinnya
Adarinnya is an alternative name for the Harari language, a Semitic language spoken primarily in the city of Harar in eastern Ethiopia.
-
D.
Fainall
Fainall is a central, scheming antagonist in William Congreve’s Restoration comedy "The Way of the World," known for his manipulative and duplicitous nature.
-
E.
Manfalut
Manfalut is a city in Upper Egypt known as an agricultural and commercial center within the Asyut region along the Nile.
- 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4ad990b948190a5e6fd50a15f64e3 |
completed | April 19, 2026, 10:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03291a7bc08190b5e3a997594b12de |
completed | May 12, 2026, 1:20 p.m. |
| NEDg | Description generation | batch_6a032b6bbebc819084da96216c6406d6 |
completed | May 12, 2026, 1:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a032c34e8ac8190876e37fe8d3aa304 |
completed | May 12, 2026, 1:33 p.m. |
Created at: April 10, 2026, 10:21 a.m.